AI model comparison
DeepSeek V3.2 Exp vs Gemini 2.5 Flash Lite
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
DeepSeek
DeepSeek V3.2 Exp
DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures.
- Input / 1M
- $0.27
- Output / 1M
- $0.41
- Context
- 164K
Gemini 2.5 Flash Lite
Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency.
Gemini 2.5 Flash Lite is scheduled to be retired on October 20, 2026. Consider Gemini 3.1 Flash Lite instead.
- Input / 1M
- $0.10
- Output / 1M
- $0.40
- Context
- 1.05M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Gemini 2.5 Flash Lite
1.9x cheaper for a typical chat
Higher intelligence score
DeepSeek V3.2 Exp
16.6 vs 10.4 on Artificial Analysis
Larger context window
Gemini 2.5 Flash Lite
1.05M vs 164K tokens
Newer release
DeepSeek V3.2 Exp
Released September 29, 2025
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
DeepSeek V3.2 Exp16.6Gemini 2.5 Flash Lite10.4Coding index
DeepSeek V3.2 ExpNot availableGemini 2.5 Flash LiteNot availableAgentic index
DeepSeek V3.2 ExpNot availableGemini 2.5 Flash LiteNot availablePricing
DeepSeek V3.2 Exp vs Gemini 2.5 Flash Lite API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | DeepSeek V3.2 Exp | Gemini 2.5 Flash Lite |
|---|---|---|
| Input tokensPer 1M tokens | $0.27 | $0.10 |
| Output tokensPer 1M tokens | $0.41 | $0.40 |
| Cached input (read)Per 1M tokens | Not available | $0.01 |
| Cache writePer 1M tokens | Not available | $0.08 |
| Web searchPer request | Not available | $0.014 |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
DeepSeek V3.2 Exp$0.75Gemini 2.5 Flash Lite$0.40Coding task
30K in, 4K out
DeepSeek V3.2 Exp$9.74Gemini 2.5 Flash Lite$4.60$1.90 cachedLong document summary
150K in, 2K out
DeepSeek V3.2 Exp$41.32Gemini 2.5 Flash Lite$15.80$2.30 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | DeepSeek V3.2 Exp | Gemini 2.5 Flash Lite |
|---|---|---|
| Context window | 164K tokens | 1.05M tokens |
| Max output | 147K tokens | 66K tokens |
| Input types | Text | Audio, File, Image, Text, Video |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | September 29, 2025 | July 22, 2025 |
Features
Supported features
API features available for each model.
| Metric | DeepSeek V3.2 Exp | Gemini 2.5 Flash Lite |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Not supported | Supported |
| Deterministic seed | Not supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
DeepSeek V3.2 ExpView full model details- DeepSeek V3.2 Exp vs Gemini 3.1 Flash Lite
- DeepSeek V3.2 Exp vs Gemma 4 31B
- DeepSeek V3.2 Exp vs DeepSeek V3.2
- DeepSeek V3.2 Exp vs Gemma 4 26B A4B
- DeepSeek V3.2 Exp vs Step 3.5 Flash
- DeepSeek V3.2 Exp vs GPT-5 Nano
- DeepSeek V3.2 Exp vs GLM 4.7 Flash
- DeepSeek V3.2 Exp vs DeepSeek V3.1 Terminus
- DeepSeek V3.2 Exp vs DeepSeek V3.1
Gemini 2.5 Flash LiteView full model details- Gemini 2.5 Flash Lite vs gpt-oss-120b
- Gemini 2.5 Flash Lite vs Gemma 4 31B
- Gemini 2.5 Flash Lite vs Gemma 4 26B A4B
- Gemini 2.5 Flash Lite vs gpt-oss-20b
- Gemini 2.5 Flash Lite vs GPT-5 Nano
- Gemini 2.5 Flash Lite vs GPT-4.1 Mini
- Gemini 2.5 Flash Lite vs Qwen3 235B A22B Instruct 2507
- Gemini 2.5 Flash Lite vs Gemma 3 27B
- Gemini 2.5 Flash Lite vs Mercury 2.5
- Gemini 2.5 Flash Lite vs Qwen3 30B A3B Instruct 2507
- Gemini 2.5 Flash Lite vs Llama 3.3 70B Instruct
- Gemini 2.5 Flash Lite vs Qwen3.5-9B
- Gemini 2.5 Flash Lite vs Nemotron 3.5 Lightning
- Gemini 2.5 Flash Lite vs Qwen3 Coder Next
- Gemini 2.5 Flash Lite vs DeepSeek V3 0324
- Gemini 2.5 Flash Lite vs GPT-4.1 Nano
- Gemini 2.5 Flash Lite vs Granite 4.2 8B
- Gemini 2.5 Flash Lite vs Llama 4 Maverick
- Gemini 2.5 Flash Lite vs Qwen3 32B
- Gemini 2.5 Flash Lite vs Qwen3 Coder 480B A35B
- Gemini 2.5 Flash Lite vs GLM 4.7 Flash
- Gemini 2.5 Flash Lite vs Nemotron 3 Super
- Gemini 2.5 Flash Lite vs GLM 4.5 Air
- Gemini 2.5 Flash Lite vs Gemma 3 12B
- Gemini 2.5 Flash Lite vs Mistral Small 4
- Gemini 2.5 Flash Lite vs Llama 4 Scout
- Gemini 2.5 Flash Lite vs Qwen3 Coder 30B A3B Instruct
- Gemini 2.5 Flash Lite vs Qwen3 14B
- Gemini 2.5 Flash Lite vs Nemotron 3 Nano 30B A3B
- Gemini 2.5 Flash Lite vs Qwen2.5 72B Instruct
- Gemini 2.5 Flash Lite vs Mercury 2
- Gemini 2.5 Flash Lite vs Llama 3.1 70B Instruct
- Gemini 2.5 Flash Lite vs GLM 4.6V
- Gemini 2.5 Flash Lite vs Trinity Large Thinking
- Gemini 2.5 Flash Lite vs Solar Pro 3
Our take
Gemini 2.5 Flash Lite is 1.9x cheaper for a typical chat. DeepSeek V3.2 Exp scores higher on the Artificial Analysis Intelligence Index (16.6 vs 10.4). Gemini 2.5 Flash Lite has the larger context window (1.05M vs 164K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is DeepSeek V3.2 Exp or Gemini 2.5 Flash Lite cheaper?
Gemini 2.5 Flash Lite is cheaper for a typical chat (2K input tokens and 500 output tokens). Gemini 2.5 Flash Lite costs $0.10 per 1M input tokens and $0.40 per 1M output tokens, while DeepSeek V3.2 Exp costs $0.27 per 1M input tokens and $0.41 per 1M output tokens.
Which has a bigger context window, DeepSeek V3.2 Exp or Gemini 2.5 Flash Lite?
Gemini 2.5 Flash Lite supports up to 1.05M tokens of context, compared with 164K for DeepSeek V3.2 Exp.
Is DeepSeek V3.2 Exp smarter than Gemini 2.5 Flash Lite?
On the Artificial Analysis Intelligence Index, DeepSeek V3.2 Exp scores 16.6 and Gemini 2.5 Flash Lite scores 10.4, putting DeepSeek V3.2 Exp ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use DeepSeek V3.2 Exp and Gemini 2.5 Flash Lite at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see DeepSeek V3.2 Exp and Gemini 2.5 Flash Lite answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to DeepSeek V3.2 Exp and Gemini 2.5 Flash Lite at the same time. Compare the answers side by side and keep the best one.